Calgary Wetlands Clean-up and Preservation Proposal
Bibliographic record
Abstract
The University of Calgary, Indigenous Studies “Ecological Knowledge” (INDG 317) taught by Professor Line Laplante aims to educate students about ways that the environment communicates using traditional Indigenous ways of knowing. Throughout the course, students learn how to apply traditional Indigenous ecological knowledge, philosophies, and teachings to modern issues. The overarching goal of the curriculum is to provide students with tools to address environment and climate changes that integrate the 2015 Truth and Reconciliation Commission (TRC) Report recommendations, as well as influence urban planning to include a renewed focus on promoting and preserving biodiversity. The 2018 Ecological Knowledge summer class developed this proposal to incorporate experiential knowledge acquired this semester to contribute towards Calgary’s growth as a culturally respectful, biologically ethical, and thriving city. This proposal supports and enhances the Our BiodiverCity (2015) strategic plan and the City of Calgary’s fundamental principles of “protecting, developing, and managing” natural environments.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.008 | 0.005 |
| Insufficient payload (model declined to judge) | 0.063 | 0.009 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".